GH Repository · didilili
ai-agents-from-zero
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
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agent-appPythondeepagentscursoragentic-aiskillsagenttutorialaigcraglangchaindifypythoncozellmnodemcpgptagent-frameworkai-agentlanggraph
A Chinese-language tutorial repository presenting a structured learning path for AI agent development, aimed at the large model application engineer role. It bundles guided study materials, hands-on projects, and an interview question bank covering tools such as LangChain, LangGraph, Coze, Dify, MCP, RAG, and prompt engineering.
You want a single self-contained roadmap that takes you from agent basics through enterprise deployment and interview prep without assembling resources yourself.
Use it to
- Follow the structured learning path from zero to agent development
- Work through the included hands-on projects
- Prepare for LLM application engineer interviews with the question bank
- Study RAG, MCP, and LangGraph via the covered materials
- Review enterprise deployment and fine-tuning topics
For Developers training for large model application engineer roles
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 653
- Open issues
- 52
- Last push
- 2026-09-10
topicstutorialai-agentslangchainragmcpinterview-prep